Why this role stands out
As the Director of AI Engineering, you will own the AI/ML strategy for a leader in life sciences, driving impactful clinical data solutions remotely with significant growth potential. This role is ideal for an experienced engineering leader passionate about building scalable, production-level AI platforms and mentoring a world-class team. Embrace this opportunity to shape the future of AI in healthcare and advance your career with a flexible, remote work arrangement.
Quick overview
Job description
Join Vita Global Sciences, an innovative leader at the intersection of AI technology and life sciences, driving next-generation clinical data solutions. This is a fully remote, full-time opportunity to own the end-to-end AI/ML engineering strategy, leading advanced biometrics and clinical automation platforms with a global impact.
Are you passionate about building scalable, production-level AI platforms in the life sciences space? Vita Global Sciences is actively seeking an AI engineering trailblazer who will not only architect and deliver FDA-compliant, automated solutions for biometrics and clinical reporting but also shape our entire AI future. If you want a role that fuses technical ownership with real-world impact, and gives you the chance to build and mentor a world-class engineering team-all while maintaining work-life flexibility-this is the opportunity for you! We value innovation, collaboration, and empower our leaders to drive technological and career growth.
Contract Duration: Full-Time, Permanent Required Skills & Experience
- 10-15+ years in software/AI engineering
- 3-5+ years leading engineering teams, including delivery ownership
- Demonstrated experience building and deploying production AI/ML or data platforms (not just prototypes)
- Deep knowledge of:
- Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic pipeline systems
- Multi-cloud platforms (AWS, Azure, Google Cloud Platform)
- MLOps and scalable deployment practices
- Experience operating in regulated environments (GxP preferred)
- Life sciences or clinical data exposure (SDTM, ADaM, CDISC, etc.)
- Enterprise-level internal platform or SaaS solution experience
- Familiarity with the PHUSE and PharmaSUG ecosystem
- Defining and executing the AI roadmap across biometrics and medical writing
- Translating domain workflows into AI/ML-enabled, compliant, and production-ready systems
- Building, scaling, and mentoring the AI engineering team
- Driving biometrics automation, LLM pipelines, agent orchestration, and cloud-native data flow frameworks
- Supporting Business Development in RFPs/RFIs and engaging in client demos
- Ensuring audit, traceability, and regulatory compliance at every step
- Innovating solutions that will directly influence Vita's revenue growth and industry reputation
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